Log in

Relevant bibliographies by topics / Alignment of images / Journal articles

To see the other types of publications on this topic, follow the link: Alignment of images.

Journal articles on the topic 'Alignment of images'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Alignment of images.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Lamprinou, Nefeli, Nikolaos Nikolikos, and Emmanouil Z. Psarakis. "Groupwise Image Alignment via Self Quotient Images." Sensors 20, no. 8 (April 19, 2020): 2325. http://dx.doi.org/10.3390/s20082325.

Full text

Abstract:

Compared with pairwise registration, the groupwise one is capable of handling a large-scale population of images simultaneously in an unbiased way. In this work we improve upon the state-of-the-art pixel-level, Least-Squares (LS)-based groupwise image registration methods. Specifically, the registration technique is properly adapted by the use of Self Quotient Images (SQI) in order to become capable for solving the groupwise registration of photometrically distorted, partially occluded as well as unimodal and multimodal images. Moreover, the proposed groupwise technique is linear to the cardinality of the image set and thus it can be used for the successful solution of the problem on large image sets with low complexity. From the application of the proposed technique on a series of experiments for the groupwise registration of photometrically and geometrically distorted, partially occluded faces as well as unimodal and multimodal magnetic resonance image sets and its comparison with the Lucas–Kanade Entropy (LKE) algorithm, the obtained results look very promising, in terms of alignment quality, using as figures of merit the mean Peak Signal to Noise Ratio ( m P S N R ) and mean Structural Similarity ( m S S I M ), and computational cost.

APA, Harvard, Vancouver, ISO, and other styles

2

Haselgrove, John, Lou Fodor, and Lee Peachey. "Automatic alignment of stereo images." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 502–3. http://dx.doi.org/10.1017/s0424820100170244.

Full text

Abstract:

Stereoscopic pairs of electron microscope images are used for quantitative 3D information. A prerequisite for the measurement is to position the two images correctly relative to each other and with the stereo rotation axis of each image aligned vertically for viewing. Although this alignment procedure is relatively straightforward to perform using prints of the images, it is not straightforwardto do once the images have been digitized directly from the microscope. We have developed an algorithm for determining the parameters needed for orienting digitized images. Four parameters are needed: The displacements Δx and Δy by which one of the images must be translated to be superimposed on the other, and the angles Θ1 and Θr by which the left and right images must be rotated to bring the stereo-rotation axis vertical.The microscopist first uses an interactive routine to identify the coordinates xl(i),yl(i) and xr(i),yr(i) of a number (N) of fiducial points which can easily be recognized on each image.

APA, Harvard, Vancouver, ISO, and other styles

3

Mohammad Khidher Mohammed A. M. Al-taee, Israa. "Creating Image Mosaics using Statistical Methods for Images Alignment." JOURNAL OF EDUCATION AND SCIENCE 24, no. 1 (March 1, 2011): 93–107. http://dx.doi.org/10.33899/edusj.2011.51409.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Wang, C. W., and H. C. Chen. "Improved image alignment method in application to X-ray images and biological images." Bioinformatics 29, no. 15 (May 29, 2013): 1879–87. http://dx.doi.org/10.1093/bioinformatics/btt309.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Wang, Guan-An, Tianzhu Zhang, Yang Yang, Jian Cheng, Jianlong Chang, Xu Liang, and Zeng-Guang Hou. "Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (April 3, 2020): 12144–51. http://dx.doi.org/10.1609/aaai.v34i07.6894.

Full text

Abstract:

RGB-Infrared (IR) person re-identification is very challenging due to the large cross-modality variations between RGB and IR images. The key solution is to learn aligned features to the bridge RGB and IR modalities. However, due to the lack of correspondence labels between every pair of RGB and IR images, most methods try to alleviate the variations with set-level alignment by reducing the distance between the entire RGB and IR sets. However, this set-level alignment may lead to misalignment of some instances, which limits the performance for RGB-IR Re-ID. Different from existing methods, in this paper, we propose to generate cross-modality paired-images and perform both global set-level and fine-grained instance-level alignments. Our proposed method enjoys several merits. First, our method can perform set-level alignment by disentangling modality-specific and modality-invariant features. Compared with conventional methods, ours can explicitly remove the modality-specific features and the modality variation can be better reduced. Second, given cross-modality unpaired-images of a person, our method can generate cross-modality paired images from exchanged images. With them, we can directly perform instance-level alignment by minimizing distances of every pair of images. Extensive experimental results on two standard benchmarks demonstrate that the proposed model favourably against state-of-the-art methods. Especially, on SYSU-MM01 dataset, our model can achieve a gain of 9.2% and 7.7% in terms of Rank-1 and mAP. Code is available at https://github.com/wangguanan/JSIA-ReID.

APA, Harvard, Vancouver, ISO, and other styles

6

Monro, D. M., and D. M. Simpson. "Alignment blur in coherently averaged images." IEEE Transactions on Signal Processing 44, no. 6 (June 1996): 1596–601. http://dx.doi.org/10.1109/78.506630.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

SAXTON, W. O. "Accurate alignment of sets of images." Journal of Microscopy 174, no. 2 (May 1994): 61–68. http://dx.doi.org/10.1111/j.1365-2818.1994.tb03449.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Radermacher, Michael, and Teresa Ruiz. "On cross-correlations, averages and noise in electron microscopy." Acta Crystallographica Section F Structural Biology Communications 75, no. 1 (January 1, 2019): 12–18. http://dx.doi.org/10.1107/s2053230x18014036.

Full text

Abstract:

Biological samples are radiation-sensitive and require imaging under low-dose conditions to minimize damage. As a result, images contain a high level of noise and exhibit signal-to-noise ratios that are typically significantly smaller than 1. Averaging techniques, either implicit or explicit, are used to overcome the limitations imposed by the high level of noise. Averaging of 2D images showing the same molecule in the same orientation results in highly significant projections. A high-resolution structure can be obtained by combining the information from many single-particle images to determine a 3D structure. Similarly, averaging of multiple copies of macromolecular assembly subvolumes extracted from tomographic reconstructions can lead to a virtually noise-free high-resolution structure. Cross-correlation methods are often used in the alignment and classification steps of averaging processes for both 2D images and 3D volumes. However, the high noise level can bias alignment and certain classification results. While other approaches may be implicitly affected, sensitivity to noise is most apparent in multireference alignments, 3D reference-based projection alignments and projection-based volume alignments. Here, the influence of the image signal-to-noise ratio on the value of the cross-correlation coefficient is analyzed and a method for compensating for this effect is provided.

APA, Harvard, Vancouver, ISO, and other styles

9

Nagumo, Kent, Tomohiro Kobayashi, Kosuke Oiwa, and Akio Nozawa. "Face Alignment in Thermal Infrared Images Using Cascaded Shape Regression." International Journal of Environmental Research and Public Health 18, no. 4 (February 12, 2021): 1776. http://dx.doi.org/10.3390/ijerph18041776.

Full text

Abstract:

The evaluation of physiological and psychological states using thermal infrared images is based on the skin temperature of specific regions of interest, such as the nose, mouth, and cheeks. To extract the skin temperature of the region of interest, face alignment in thermal infrared images is necessary. To date, the Active Appearance Model (AAM) has been used for face alignment in thermal infrared images. However, computation using this method is costly, and it has a low real-time performance. Conversely, face alignment of visible images using Cascaded Shape Regression (CSR) has been reported to have high real-time performance. However, no studies have been reported on face alignment in thermal infrared images using CSR. Therefore, the objective of this study was to verify the speed and robustness of face alignment in thermal infrared images using CSR. The results suggest that face alignment using CSR is more robust and computationally faster than AAM.

APA, Harvard, Vancouver, ISO, and other styles

10

Winz, M. L., K. Rohr, and S. Wörz. "Geometric Alignment of 2D Gel Electrophoresis Images." Methods of Information in Medicine 48, no. 04 (2009): 320–23. http://dx.doi.org/10.3414/me9229.

Full text

Abstract:

Summary Objectives: 2D gel electrophoresis (2-DE) is the method of choice for analyzing protein expression in the field of proteomics, for example, comparing a reference with a test population. However, due to complex physical and chemical processes the locations of proteins generally vary in different 2-DE images. To cope with these variations, accurate geometric alignment of 2-DE images is important. Methods: We introduce a new elastic registration approach for 2-DE images, which is based on an analytic solution of the Navier equation using Gaussian elastic body splines (GEBS). With this approach cross-effects in elastic deformations can be handled, which is important for the registration of 2-DE images. In addition, landmark correspondences can be included to aid the registration in regions which are difficult to register using intensity information alone. Results: We have successfully applied our approach to register 2-DE gel images of different levels of complexity. In each case, gel images from a reference group are compared with a test group. To analyze the performance of our approach, we have carried out a quantitative evaluation of the registration results. Moreover, we have performed an experimental comparison with a previous elastic registration scheme. Conclusions: From the results we found that our approach is well-suited for the registration of 2-DE gel images of different levels of complexity and it turned out that the approach is superior to a previous hybrid scheme. Moreover, our approach is well-suited in a fully automatic setting and the performance can further be improved when landmark correspondences are available.

APA, Harvard, Vancouver, ISO, and other styles

11

Ordóñez, Álvaro, Francisco Argüello, and Dora Heras. "Alignment of Hyperspectral Images Using KAZE Features." Remote Sensing 10, no. 5 (May 15, 2018): 756. http://dx.doi.org/10.3390/rs10050756.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Cheng, Chang-Chieh, Chia-Chi Chien, Hsiang-Hsin Chen, Yeukuang Hwu, and Yu-Tai Ching. "Image Alignment for Tomography Reconstruction from Synchrotron X-Ray Microscopic Images." PLoS ONE 9, no. 1 (January 9, 2014): e84675. http://dx.doi.org/10.1371/journal.pone.0084675.

Full text

APA, Harvard, Vancouver, ISO, and other styles

13

Lauterbach, H. A., D. Borrmann, and A. Nüchter. "TOWARDS RADIOMETRICAL ALIGNMENT OF 3D POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W3 (February 23, 2017): 419–24. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w3-419-2017.

Full text

Abstract:

3D laser scanners are typically not able to collect color information. Therefore coloring is often done by projecting photos of an additional camera to the 3D scans. The capturing process is time consuming and therefore prone to changes in the environment. The appearance of the colored point cloud is mainly effected by changes of lighting conditions and corresponding camera settings. In case of panorama images these exposure variations are typically corrected by radiometrical aligning the input images to each other. In this paper we adopt existing methods for panorama optimization in order to correct the coloring of point clouds. Therefore corresponding pixels from overlapping images are selected by using geometrically closest points of the registered 3D scans and their neighboring pixels in the images. The dynamic range of images in raw format allows for correction of large exposure differences. Two experiments demonstrate the abilities of the approach.

APA, Harvard, Vancouver, ISO, and other styles

14

Lin, F., Q. Chen, and L. M. Peng. "REW– exit-wave reconstruction and alignments for focus-variation high-resolution transmission electron microscopy images." Journal of Applied Crystallography 40, no. 3 (May 15, 2007): 614. http://dx.doi.org/10.1107/s0021889807008588.

Full text

Abstract:

A Windows-based computer program has been developed for exit-wave reconstruction and experimental high-resolution transmission electron microscopy image alignment. While the exit-wave reconstruction is performed mainly using the maximum-likelihood method, image alignments may be carried out using several algorithms, including the time-consuming but robust genetic algorithm.

APA, Harvard, Vancouver, ISO, and other styles

15

Xia, Ying Jie, Jian Qin Yin, and Rui Chen. "An Automatic Registration Method for Multi-Modal Images Based on Alignment Metric." Applied Mechanics and Materials 182-183 (June 2012): 1308–12. http://dx.doi.org/10.4028/www.scientific.net/amm.182-183.1308.

Full text

Abstract:

There are some methods such as mutual information, alignment metric and so on. But they aim at registration of multi-modal images whose sizes are same. And there are few researches on registration of multi-modal images whose sizes are different. In this paper, an automatic registration method for multi-modal images based on alignment metric is proposed. In order to look for the best registration location of two multi-modal images, genetic algorithm is used in the method for iterative search. Alignment metric is used as the fitness function of genetic algorithm. It is proved that automatic registration for multi-modal images of different sizes can be realized. And it has high accuracy and robustness.

APA, Harvard, Vancouver, ISO, and other styles

16

Lo, WN, KW Cheung, SH Yung, and KH Chiu. "Arthroscopy-Assisted Computer Navigation in High Tibial Osteotomy for Varus Knee Deformity." Journal of Orthopaedic Surgery 17, no. 1 (April 2009): 51–55. http://dx.doi.org/10.1177/230949900901700112.

Full text

Abstract:

Purpose. To assess the accuracy of knee alignment after high tibial osteotomy (HTO) for varus knee deformity using arthroscopy-assisted computer navigation. Methods. Six men and 4 women aged 47 to 53 (mean, 49) years underwent medial open wedge HTO for varus knee deformity and medial unicompartmental osteoarthritis using arthroscopy-assisted computer navigation with fluoroscopy. Patients were followed up for a mean of 23 (range, 11–32) months. Intra- and post-operative leg alignments were compared. Results. The mean postoperative coronal plane alignment was 2.7 (range, 1–4) degree valgus; the mean deviation from intra-operative computer images was one (range, 0.1–1.9) degree; 5 knees had less valgus in the postoperative radiographs than the intra-operative computer images. Conclusion. Despite being more technically demanding, time consuming, and costly, arthroscopy-assisted computer navigation is safe, accurate, and reliable for HTO.

APA, Harvard, Vancouver, ISO, and other styles

17

Sirisha, B., B. Sandhya, Chandra Sekhar Paidimarry, and A. S. Chandrasekhara Sastry. "A Framework for Image Alignment of TerraSAR-X Images Using Fractional Derivatives and View Synthesis Approach." Journal of Intelligent Systems 29, no. 1 (February 21, 2018): 364–77. http://dx.doi.org/10.1515/jisys-2017-0381.

Full text

Abstract:

Abstract Conventional integer order differential operators suffer from poor feature detection accuracy and noise immunity, which leads to image misalignment. A new affine-based fractional order feature detection algorithm is proposed to detect syntactic and semantic structures from the backscattered signal of a TerraSAR-X band stripmap image. To further improve the alignment accuracy, we propose to adapt a view synthesis approach in the standard pipeline of feature-based image alignment. Experiments were performed to test the effectiveness and robustness of the view synthesis approach using a fractional order feature detector. The evaluation results showed that the proposed method achieves high precision and robust alignment of look-angle-varied TerraSAR-X images. The affine features detected using the fractional order operator are more stable and have strong capacity to reduce sturdy speckle noise.

APA, Harvard, Vancouver, ISO, and other styles

18

Leung, Christopher Kai-shun, Wai-Man Chan, Kelvin Kam-Lung Chong, Kwok-Cheung Chan, Wing-ho Yung, Moon-Kong Tsang, Raymond Kwok Kay Tse, and Dennis Shun-chiu Lam. "Alignment Artifacts in Optical Coherence Tomography Analyzed Images." Ophthalmology 114, no. 2 (February 2007): 263–70. http://dx.doi.org/10.1016/j.ophtha.2006.06.059.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Taveira, Giancarlo, and Leandro A. F. Fernandes. "Automatic alignment and reconstruction of facial depth images." Pattern Recognition Letters 50 (December 2014): 82–90. http://dx.doi.org/10.1016/j.patrec.2013.12.007.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Tuia, Devis, Michele Volpi, Maxime Trolliet, and Gustau Camps-Valls. "Semisupervised Manifold Alignment of Multimodal Remote Sensing Images." IEEE Transactions on Geoscience and Remote Sensing 52, no. 12 (December 2014): 7708–20. http://dx.doi.org/10.1109/tgrs.2014.2317499.

Full text

APA, Harvard, Vancouver, ISO, and other styles

21

Zheng, Yuanjie, Yu Wang, Wanzhen Jiao, Sujuan Hou, Yanju Ren, Maoling Qin, Dewen Hou, et al. "Joint alignment of multispectral images via semidefinite programming." Biomedical Optics Express 8, no. 2 (January 17, 2017): 890. http://dx.doi.org/10.1364/boe.8.000890.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Bossert, Oliver. "A robust method for alignment of histological images." Computer Methods and Programs in Biomedicine 78, no. 1 (April 2005): 35–38. http://dx.doi.org/10.1016/j.cmpb.2004.12.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Vähämaa, Heidi, Ville R. Koskinen, Waltteri Hosia, Robert Moulder, Olli S. Nevalainen, Riitta Lahesmaa, Tero Aittokallio, and Jussi Salmi. "PolyAlign: A Versatile LC-MS Data Alignment Tool for Landmark-Selected and -Automated Use." International Journal of Proteomics 2011 (April 19, 2011): 1–9. http://dx.doi.org/10.1155/2011/450290.

Full text

Abstract:

We present a versatile user-friendly software tool, PolyAlign, for the alignment of multiple LC-MS signal maps with the option of manual landmark setting or automated alignment. One of the spectral images is selected as a reference map, and after manually setting the landmarks, the program warps the images using either polynomial or Hermite transformation. The software provides an option for automated landmark finding. The software includes a very fast zoom-in function synchronized between the images, which facilitate detecting correspondences between the adjacent images. Such an interactive visual process enables the analyst to decide when the alignment is satisfactory and to correct known irregularities. We demonstrate that the software provides significant improvements in the alignment of LC-MALDI data, with 10–15 landmark pairs, and it is also applicable to correcting electrospray LC-MS data. The results with practical data show substantial improvement in peak alignment compared to MZmine, which was among the best analysis packages in a recent assessment. The PolyAlign software is freely available and easily accessible as an integrated component of the popular MZmine software, and also as a simpler stand-alone Perl implementation to preview data and apply landmark directed polynomial transformation.

APA, Harvard, Vancouver, ISO, and other styles

24

Zhao, Ziyi, Yujian Xu, Robert Ulichney, Matthew Gaubatz, Stephen Pollard, and Jan P. Allebach. "Data-bearing halftone image alignment and assessment on 3D surface." Electronic Imaging 2020, no. 15 (January 26, 2020): 196–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.15.color-165.

Full text

Abstract:

An alignment approach for data-bearing halftone images, which are a visually pleasant alternative to barcodes, is proposed in this paper. In this paper, we address the alignment problem of data-bearing halftone images on a 3D surface. Different types of surfaces have been tested , using our proposed approach, and high accuracy results have been achieved. Additionally, we also develop a data retrieval tool from an aligned image, in order to decode the data embedded in the original image. A system to assess the accuracy of alignment is introduced to quantify the effectiveness of the proposed alignment approach.

APA, Harvard, Vancouver, ISO, and other styles

25

Hu, Yutao, Xuhui Liu, Baochang Zhang, Jungong Han, and Xianbin Cao. "Alignment Enhancement Network for Fine-grained Visual Categorization." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 1s (March 31, 2021): 1–20. http://dx.doi.org/10.1145/3446208.

Full text

Abstract:

Fine-grained visual categorization (FGVC) aims to automatically recognize objects from different sub-ordinate categories. Despite attracting considerable attention from both academia and industry, it remains a challenging task due to subtle visual differences among different classes. Cross-layer feature aggregation and cross-image pairwise learning become prevailing in improving the performance of FGVC by extracting discriminative class-specific features. However, they are still inefficient to fully use the cross-layer information based on the simple aggregation strategy, while existing pairwise learning methods also fail to explore long-range interactions between different images. To address these problems, we propose a novel Alignment Enhancement Network (AENet), including two-level alignments, Cross-layer Alignment (CLA) and Cross-image Alignment (CIA). The CLA module exploits the cross-layer relationship between low-level spatial information and high-level semantic information, which contributes to cross-layer feature aggregation to improve the capacity of feature representation for input images. The new CIA module is further introduced to produce the aligned feature map, which can enhance the relevant information as well as suppress the irrelevant information across the whole spatial region. Our method is based on an underlying assumption that the aligned feature map should be closer to the inputs of CIA when they belong to the same category. Accordingly, we establish Semantic Affinity Loss to supervise the feature alignment within each CIA block. Experimental results on four challenging datasets show that the proposed AENet achieves the state-of-the-art results over prior arts.

APA, Harvard, Vancouver, ISO, and other styles

26

Fujinuma, Takuya, Hiroshi Takemura, Shinichi Kosugi, Hiroaki Kurokawa, Yasuhito Tanaka, and Satoki Tsuichihara. "QUANTITATIVE EVALUATION METHOD FOR TIBIOFIBULAR JOINT ALIGNMENT IN ANKLE OSTEOARTHRITIS BASED ON 3D BONE SIZE." Journal of Musculoskeletal Research 23, no. 03 (September 2020): 2050011. http://dx.doi.org/10.1142/s0218957720500116.

Full text

Abstract:

Purpose: A remedy for ankle osteoarthritis is artificial joint replacement surgery. By estimating the relative positional difference (alignment) between the bone before and after deformation, precise artificial joint replacement surgery can be performed. By using the estimated alignment, an artificial ankle joint can ensure high satisfaction with less pain and can perform necessary functions. Although bone alignment is currently estimated from X-rays and computed tomography (CT) images, it is difficult to measure three-dimensional (3D) data from two-dimensional (2D) images. Although 3D data can be estimated using a 2D–3D registration method, it requires capturing the bone images multiple times and imposing considerable burden on the patient. In this paper, we propose a method to estimate the 3D bone alignment based on the size of the bone using principal component analysis (PCA), which requires scanning only one data. Method: In the proposed method, PCA is used to create a 3D bone model based on the bone thickness, and the bone alignment is estimated by the Go-ICP algorithm. In this study, the images of the foot were captured using a CT device, and the 3D bone model was created by stacking CT images. For improving the accuracy of the alignment, a reference model based on the bone thickness was created using PCA. Subsequently, the bone was overlapped and the alignment was estimated. Result: For the evaluation of the accuracy of alignment in the proposed method, three types of methods were used to create a bone model. The proposed method was found to be the most accurate with respect to the true value in five of the six evaluation criteria. In addition, the alignment of the tibiofibular joint was evaluated using the proposed method. Regarding the displacement in the [Formula: see text]-axis direction, there were significant differences in both Stage 3B and Stage 4 compared with the healthy subjects. In addition, the magnitude of rotation in the [Formula: see text]-axis direction showed a significant difference in stage 3B as compared with a healthy subject. Conclusion: Using the proposed method, we have shown that bone alignment can be estimated three-dimensionally by scanning the bone data once only. In addition, by comparing with the reference model using PCA based on the thickness of the bone, the accuracy of alignment is improved as compared with the reference model, which is not based on the bone thickness.

APA, Harvard, Vancouver, ISO, and other styles

27

Gao, G., M. Zhang, and Y. Gu. "OBJECT MANIFOLD ALIGNMENT FOR MULTI-TEMPORAL HIGH RESOLUTION REMOTE SENSING IMAGES CLASSIFICATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 325–32. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-325-2017.

Full text

Abstract:

Multi-temporal remote sensing images classification is very useful for monitoring the land cover changes. Traditional approaches in this field mainly face to limited labelled samples and spectral drift of image information. With spatial resolution improvement, “pepper and salt” appears and classification results will be effected when the pixelwise classification algorithms are applied to high-resolution satellite images, in which the spatial relationship among the pixels is ignored. For classifying the multi-temporal high resolution images with limited labelled samples, spectral drift and “pepper and salt” problem, an object-based manifold alignment method is proposed. Firstly, multi-temporal multispectral images are cut to superpixels by simple linear iterative clustering (SLIC) respectively. Secondly, some features obtained from superpixels are formed as vector. Thirdly, a majority voting manifold alignment method aiming at solving high resolution problem is proposed and mapping the vector data to alignment space. At last, all the data in the alignment space are classified by using KNN method. Multi-temporal images from different areas or the same area are both considered in this paper. In the experiments, 2 groups of multi-temporal HR images collected by China GF1 and GF2 satellites are used for performance evaluation. Experimental results indicate that the proposed method not only has significantly outperforms than traditional domain adaptation methods in classification accuracy, but also effectively overcome the problem of “pepper and salt”.

APA, Harvard, Vancouver, ISO, and other styles

28

Pan, Meisen, and Fen Zhang. "PERFORMANCE COMPARISON OF THE POWELL AND PSO METHODS FOR MEDICAL IMAGE ALIGNMENT." Biomedical Engineering: Applications, Basis and Communications 29, no. 02 (April 2017): 1750014. http://dx.doi.org/10.4015/s1016237217500144.

Full text

Abstract:

In the course of aligning medical images, the similarity metric (also called alignment function) is regarded as the objective function, and the optimization method as the tool for exploring the optimal transformation parameters. In this paper, the medical image alignment is represented first and then the optimization methods are depicted in detail. With this description, by the use of the mutual information (MI) as the similarity metric, the Powell method and the particle swarm optimization (PSO) method are employed to seek the optimal transformation parameters respectively, and their optimization performances are estimated and compared. The experimental results show that the Powell and PSO methods can cater to both the multi-modality medical image alignments.

APA, Harvard, Vancouver, ISO, and other styles

29

Zheng, Chengyong, Hong Li, and Guokuan Li. "Distance context based PCB film image alignment." Circuit World 40, no. 3 (July 29, 2014): 110–18. http://dx.doi.org/10.1108/cw-03-2014-0006.

Full text

Abstract:

Purpose – This paper presents a novel printed circuit board (PCB) film image alignment method based on distance context of image components, which can be directly used for PCB film inspection. PCB film inspection plays a very important role in PCB production. Design/methodology/approach – First, image components of reference film image and inspected film image are extracted. Then, local distance context (LDC) and global distance context (GDC) are computed for each image component. Using LDC and GDC, the similarity of each pair of components between the reference film image and the inspected film image are computed, the component correspondences can be established accordingly and the parameters for aligning these two images can be eventually estimated. Findings – LDC and GDC act as the local spatial distribution descriptor and the global relative position descriptor of the current component, and they are invariant to translation, rotating and scale. Experimental results on aligning real PCB film images against various rotations and scaling transformation show that the proposed algorithm is fast and accurate and is very suitable for PCB film inspection. Research limitations/implications – The proposed algorithm is suitable for aligning those images that have some isolated connected components, such as the PCB film images. It is not suitable for general image alignment. Originality/value – We put forward to use LDC and GDC as the local descriptor and global descriptor of an image component, and designed a PCB film image alignment algorithm that can overcome the shortcomings of that image alignment algorithm that was based on local feature descriptors such as Fourier descriptor.

APA, Harvard, Vancouver, ISO, and other styles

30

Sen, Anando, Brian M. Anderson, Guillaume Cazoulat, Molly M. McCulloch, Dalia Elganainy, Brigid A. McDonald, Yulun He, et al. "Accuracy of deformable image registration techniques for alignment of longitudinal cholangiocarcinoma CT images." Medical Physics 47, no. 4 (February 12, 2020): 1670–79. http://dx.doi.org/10.1002/mp.14029.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Ahmine, Yassine, Guillaume Caron, Fatima Chouireb, and El Mustapha Mouaddib. "Continuous Scale-Space Direct Image Alignment for Visual Odometry From RGB-D Images." IEEE Robotics and Automation Letters 6, no. 2 (April 2021): 2264–71. http://dx.doi.org/10.1109/lra.2021.3061309.

Full text

APA, Harvard, Vancouver, ISO, and other styles

32

Barazzetti, Luigi, Fabio Remondino, and Marco Scaioni. "Sequential Homography-Based Alignment for HDR Image Generation." Advanced Materials Research 452-453 (January 2012): 1025–29. http://dx.doi.org/10.4028/www.scientific.net/amr.452-453.1025.

Full text

Abstract:

Tripoding the camera is a standard solution to acquire aligned images useful for High Dynamic Range photography. On the other hand, the chance to use a hand-held digital camera is surely more practical and attractive for photographers. In this paper we propose a registration algorithm that recovers the alignment of several bracketed images using a progressive combination of homographies estimated from a set of image correspondences.

APA, Harvard, Vancouver, ISO, and other styles

33

Kawata, M., and C. Sato. "A Statistically Harmonized Alignment-Classification in Image Space Enables Accurate and Robust Alignment of Noisy Images in Single Particle Analysis." Journal of Electron Microscopy 56, no. 3 (June 1, 2007): 83–92. http://dx.doi.org/10.1093/jmicro/dfm010.

Full text

APA, Harvard, Vancouver, ISO, and other styles

34

Mezura-Montes, Efrén, Héctor-Gabriel Acosta-Mesa, Darío-del-Sinaí Ramírez-Garcés, Nicandro Cruz-Ramírez, and Rodolfo Hernández-Jiménez. "An Image Registration Method for Colposcopic Images." Computational and Mathematical Methods in Medicine 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/285962.

Full text

Abstract:

A nonrigid body image registration method for spatiotemporal alignment of image sequences obtained from colposcopy examinations to detect precancerous lesions of the cervix is proposed in this paper. The approach is based on time series calculation for those pixels in the first image of the sequence and a division of such image into small windows. A search process is then carried out to find the window with the highest affinity in each image of the sequence and replace it with the window in the reference image. The affinity value is based on polynomial approximation of the time series computed and the search is bounded by a search radius which defines the neighborhood of each window. The proposed approach is tested in ten 310-frame real cases in two experiments: the first one to determine the best values for the window size and the search radius and the second one to compare the best obtained results with respect to four registration methods found in the specialized literature. The obtained results show a robust and competitive performance of the proposed approach with a significant lower time with respect to the compared methods.

APA, Harvard, Vancouver, ISO, and other styles

35

Zeng, Dan, Rui Fang, Shiming Ge, Shuying Li, and Zhijiang Zhang. "Geometry-Based Global Alignment for GSMS Remote Sensing Images." Remote Sensing 9, no. 6 (June 10, 2017): 587. http://dx.doi.org/10.3390/rs9060587.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Römer, J., M. Plaschke, and J. I. Kim. "Alignment of AFM images using an iterative mathematical procedure." Ultramicroscopy 85, no. 2 (October 2000): 99–105. http://dx.doi.org/10.1016/s0304-3991(00)00044-9.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Sorzano, C. O. S., F. de Isidro-Gómez, E. Fernández-Giménez, D. Herreros, S. Marco, J. M. Carazo, and C. Messaoudi. "Improvements on marker-free images alignment for electron tomography." Journal of Structural Biology: X 4 (2020): 100037. http://dx.doi.org/10.1016/j.yjsbx.2020.100037.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Baldwin, P. R., and Pawel A. Penczek. "Estimating alignment errors in sets of 2-D images." Journal of Structural Biology 150, no. 2 (May 2005): 211–25. http://dx.doi.org/10.1016/j.jsb.2005.02.006.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Dornier, C., L. Dorsaz-Brossa, P. Thévenaz, F. Casagni, P. Brochut, A. Mombelli, and JP Vallée. "Geometric alignment and chromatic calibration of serial radiographic images." Dentomaxillofacial Radiology 33, no. 4 (July 2004): 220–25. http://dx.doi.org/10.1259/dmfr/71716997.

Full text

APA, Harvard, Vancouver, ISO, and other styles

40

Dai, Yinglong, and Guojun Wang. "Analyzing Tongue Images Using a Conceptual Alignment Deep Autoencoder." IEEE Access 6 (2018): 5962–72. http://dx.doi.org/10.1109/access.2017.2788849.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Jiang, Jun, Zhengguo Li, Shoulie Xie, Shiqian Wu, and Liangcai Zeng. "Robust Alignment of Multi-Exposed Images With Saturated Regions." IEEE Access 8 (2020): 221689–99. http://dx.doi.org/10.1109/access.2020.3043257.

Full text

APA, Harvard, Vancouver, ISO, and other styles

42

Gefen, S., O. Tretiak, and J. Nissanov. "Elastic 3-D alignment of rat brain histological images." IEEE Transactions on Medical Imaging 22, no. 11 (November 2003): 1480–89. http://dx.doi.org/10.1109/tmi.2003.819280.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Hibbard, Lyndon S., Tamara L. Arnicar-Sulze, Barbara J. Dovey-Hartman, and Robert B. Page. "Computed alignment of dissimilar images for three-dimensional reconstructions." Journal of Neuroscience Methods 41, no. 2 (February 1992): 133–52. http://dx.doi.org/10.1016/0165-0270(92)90056-j.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Ko, Min S., and Sang C. Park. "Alignment of dental depth images from an intraoral scanner." Computer-Aided Design and Applications 15, no. 6 (June 22, 2018): 863–71. http://dx.doi.org/10.1080/16864360.2018.1486962.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Suits, Arthur G., Chandan Kumar Bishwakarma, Lei Song, Gerrit C. Groenenboom, Ad van der Avoird, and David H. Parker. "Direct Extraction of Alignment Moments from Inelastic Scattering Images." Journal of Physical Chemistry A 119, no. 23 (November 25, 2014): 5925–31. http://dx.doi.org/10.1021/jp509381q.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Fernández, Alberto, Rodrigo García, Rubén Usamentiaga, and Rubén Casado. "Glasses detection on real images based on robust alignment." Machine Vision and Applications 26, no. 4 (March 31, 2015): 519–31. http://dx.doi.org/10.1007/s00138-015-0674-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Xiong, Zi Ming, Gang Wan, and Xue Feng Cao. "Automatic Alignment of 3D Point Clouds to Orthographic Images." Advanced Materials Research 591-593 (November 2012): 1265–68. http://dx.doi.org/10.4028/www.scientific.net/amr.591-593.1265.

Full text

Abstract:

Recent progress in structure-from-motion (SfM) has led to robust techniques that can operate in extremely general conditions. However, a limitation of SfM is that the scene can only be recovered up to a similarity transformation. We address the problem of automatically aligning 3D point clouds from SfM reconstructions to orthographic images. We extract feature lines from 3D point clouds, and project the feature lines onto the ground plane to create a 2D feature lines. So we reduce this alignment problem to a 2D line to 2D line alignment(match), and a novel technique for the automatic feature lines matching is presented in this paper.

APA, Harvard, Vancouver, ISO, and other styles

48

Reimers, Iryna, Ilia Safonov, Anton Kornilov, and Ivan Yakimchuk. "Two-Stage Alignment of FIB-SEM Images of Rock Samples." Journal of Imaging 6, no. 10 (October 10, 2020): 107. http://dx.doi.org/10.3390/jimaging6100107.

Full text

Abstract:

Focused Ion Beam Scanning Electron Microscopy (FIB-SEM) tomography provides a stack of images that represent serial slices of the sample. These images are displaced relatively to each other, and an alignment procedure is required. Traditional methods for alignment of a 3D image are based on a comparison of two adjacent slices. However, such algorithms are easily confused by anisotropy in the sample structure or even experiment geometry in the case of porous media. This may lead to significant distortions in the pore space geometry, if there are no stable fiducial marks in the frame. In this paper, we propose a new method, which meaningfully extends existing alignment procedures. Our technique allows the correction of random misalignments between slices and, at the same time, preserves the overall geometrical structure of the specimen. We consider displacements produced by existing alignment algorithms as a signal and decompose it into low and high-frequency components. Final transformations exclude slow variations and contain only high frequency variations that represent random shifts that need to be corrected. The proposed algorithm can operate with not only translations but also with arbitrary affine transformations. We demonstrate the performance of our approach on a synthetic dataset and two real FIB-SEM images of natural rock.

APA, Harvard, Vancouver, ISO, and other styles

49

Homola, Tomas, Vlastislav Dohnal, and Pavel Zezula. "On Combining Sequence Alignment and Feature-Quantization for Sub-Image Searching." International Journal of Multimedia Data Engineering and Management 3, no. 3 (July 2012): 20–44. http://dx.doi.org/10.4018/jmdem.2012070102.

Full text

Abstract:

The availability of various photo archives and photo sharing systems made similarity searching much more important because the photos are not usually conveniently tagged. So the photos (images) need to be searched by their content. Moreover, it is important not only to compare images with a query holistically but also to locate images that contain the query as their part. The query can be a picture of a person, building, or an abstract object and the task is to retrieve images of the query object but from a different perspective or images capturing a global scene containing the query object. This retrieval is called the sub-image searching. In this paper, the authors propose an algorithm, called SASISA, for retrieving database images by their similarity to and containment of a query. The novelty of it lies in application of a sequence alignment algorithm, which is commonly used in text retrieval. This forms an orthogonal solution to currently used approaches based on inverted files. They improve efficiency of SASISA by applying vector-quantization of local image feature descriptors. The proposed algorithm and its optimization are evaluated on a real-life data set containing photographs where images of logos are searched. It is compared to a state-of-the-art method (Joly & Buisson, 2009) and the improvement of 16% in mean average precision (mAP) is obtained.

APA, Harvard, Vancouver, ISO, and other styles

50

Ottensmeyer, F. P., M. Timmer, K. Allen, A. B. Fernandes, and K. W. Moremen. "3D Reconstruction from Single Particles: Improved Orientation Determination from Noisy Images." Microscopy and Microanalysis 3, S2 (August 1997): 1137–38. http://dx.doi.org/10.1017/s1431927600012575.

Full text

Abstract:

The correct reconstruction of the 3D structure from electron micrographs of sets of individual macromolecules or macromolecular assemblies depends crucially on the alignment and orientation determination of the individual images. The lateral alignment from one image to the next is generally easily accomplished by calculating the centre of mass of the individual molecular micrographs. For relatively noise-free pairs of images of unknown structures the sinogram correlation function provides common axes which can determine a correct angular orientation for any set of three images, building consecutively to a complete orientation determination for all images [1]. Low-dose images, however, are inherently noisy. For noisy images the angle determination becomes more problematical, since any fourth noisy image will have three different orientations, each with respect to one of the three possible pairs of three previously oriented noisy images. As more noisy images are added to the set, the number of possible orientations for any given image grow factorially.

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!